NDLI: Evaluation of BIAS reduction in cross-calibration of NDVI based on soil isoline equations: Comparison with error estimated from signal-to-noise ratio

Content Provider	IEEE Xplore Digital Library
Author	Taniguchi, K. Obata, K. Yoshioka, H.
Copyright Year	2015
Description	Author affiliation: Inst. of Geol. & Geoinf., Nat. Inst. of Adv. Ind. Sci. & Technol., Tsukuba, Japan (Obata, K.) \|\| Dept. of Inf. Sci. & Technol., Aichi Prefectural Univ., Nagakute, Japan (Taniguchi, K.; Yoshioka, H.)
Abstract	Intercalibration among remotely-sensed data products such as spectral vegetation indices (VIs) from sensors onboard different satellites has been investigated for integrational use of multiple datasets. To facilitate intercalibration technique of VIs, the relationships among the VI values from different sensors need to be fully understood. This study evaluated the accuracies of NDVI translation technique based on soil iso-line equations. The evaluation was performed by comparing the errors in intersensor relationships of NDVI simulated by radiative transfer model and propagted error in NDVI from the sensor specific signal-to-noise ratio (SNR) of each band. The numerical results indicated that the translation equation showed enough accuracy relative to the propagated error originated from SNR, if the soil brightness underneath the canopy layer can be estimated prior to the translation.
Starting Page	625
Ending Page	628
File Size	186392
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7325841
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil Signal to noise ratio Sensors Mathematical model Calibration Remote sensing Vegetation mapping spectral effect intercalibration intersensor relationship vegetation index soil isolines
Content Type	Text
Resource Type	Article

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